Lithium metal batteries(LMBs)are considered the ideal next-generation high-energy-density systems,capable of surpassing the performance of lithium-ion batteries(LIBs).However,LMBs suffer from issues such as irreversib...Lithium metal batteries(LMBs)are considered the ideal next-generation high-energy-density systems,capable of surpassing the performance of lithium-ion batteries(LIBs).However,LMBs suffer from issues such as irreversible Li deposition/stripping,dendrite growth and significant volume fluctuations.Here,we use doctor blade coating to precisely control the loading of the bulk hard carbon(BHC)host with closed nanopores on carbon-coated copper(CCu)foil to achieve optimal cycling stability and rate performance for Li metal and anode-free battery systems.Through ex/in-situ techniques,we demonstrate that the BHC host induces a continuous intercalation-deposition mechanism,where the pre-lithiated BHC(preliBHC)phase,formed by Li+intercalation,improves Li affinity,accelerates Li+transport,and reduces nucleation overpotential,resulting in uniform Li deposition and effectively suppressing dendrite growth.Furthermore,these characterizations reveal that irreversible Li deintercalation from graphite layers is a key factor leading to the low initial Coulombic efficiency(ICE).Consequently,when coupled with a LiFePO_(4)cathode,the BHC-based full cell retains 96.3% of its capacity after 210 cycles at 1 C,demonstrating exceptional cycling stability.Notably,at-20℃,the full cell maintains 94.2% capacity retention after 60 cycles.These findings deepen the understanding of regulating Li metal deposition mechanisms and offer valuable insights into designing Li metal hosts for improved cycle life and high-rate performance.展开更多
With the proliferation of artificial intelligence (AI) technology, the profound impact it has had on the economy cannot be ignored. With each passing day, AI advancements grow increasingly significant, demanding the c...With the proliferation of artificial intelligence (AI) technology, the profound impact it has had on the economy cannot be ignored. With each passing day, AI advancements grow increasingly significant, demanding the close attention of both corporations and governments. It is imperative for all stakeholders to grasp the ramifications of AI on the workforce and societal inequality. While past research has predominantly revolved around the potential of AI-driven automation and the specter of job displacement, a crucial aspect often overlooked has been policy evaluation that considers those directly impacted—employers and employees within the workplace. Through a comprehensive survey encompassing the perspectives of over 5000 individuals and 2000 firms, we endeavor to unravel the intricate web of AI implementation within professional settings and, by proxy, potential policy solutions to combat the various aspects of AI. The revelations stemming from our study are telling Training emerges as an indispensable catalyst in the assimilation of AI, rendering it more effective and, notably, enhancing the perceptions of AI among the workforces. Furthermore, consultations surrounding AI integration within organizations prove to be a positive force, facilitating its harmonious coexistence with human labor. However, it is the vital nexus of communication between employers and employees that stands as the linchpin to the successful incorporation of AI into the modern workplace. Furthermore, examples of federal and regulatory policy are provided that could be used to combat concerns that will arise in accompaniment with AI. In essence, our findings implore a balanced and nuanced approach—One that empowers rather than alienates employees. Only through such an approach can we hope to foster coexistence between AI and the invaluable human workforce.展开更多
As one of the largest families of transcription factors(TFs)in plants,the WRKY TF family plays a key role in regulating plant responses to various biotic and abiotic stresses.However,there is no confirmed method to qu...As one of the largest families of transcription factors(TFs)in plants,the WRKY TF family plays a key role in regulating plant responses to various biotic and abiotic stresses.However,there is no confirmed method to quickly identify stress-responsive members from the WRKY gene family.In this study,all reported functional WRKY genes were first analyzed,and the amino acid patterns in response to stress were identified in group II-c(T-R/K-S/T-E/Q/D-V/I/L-E/D-I/V/H/N-L/M-D/E-D-G/E-F/Y-K/R-WRKYG-Q/K-K-A/T-VKN-S/N-P),group II-d(VPA-I/V-S-X-K-M/L/V/I-ADIP-P/A/V-D-D/EY/F-S-WRKYGQKPIKGSP-H/Y-PRGYYKCS-S/T-V/M-RGCPARKVER),and group II-e(PSD-S/A/L-WAWRKYGQKPIKGSPYPR-G/S-YYRCSSSKGC).WRKY genes in Dendrobium catenatum were used to validate the accuracy of these patterns.A total of 63 DcaWRKY genes were identified,their gene structures,conserved motifs,and gene expression patterns were analyzed,and a phylogenetic tree was constructed.Gene expression patterns were then analyzed under drought stress,and seven DcaWRKY genes(Dca002550,Dca002715,Dca005648,Dca007842,Dca010430,Dca016437,and Dca006787)were randomly selected to determine their expression levels and verify their expression patterns by quantitative real-time polymerase chain reaction analysis.The identified amino acid patterns were validated by drought-responsive WRKY genes in D.catenatum,confirming the accuracy of these amino acid patterns and providing valuable insights into further research of the WRKY family in D.catenatum.展开更多
Uterine myomas are the most prevalent benign gynecological tumors,affecting over 70%of women[1].They are often associated with significant morbidity,including anemia and infertility.In contrast,uterine sarcomas,althou...Uterine myomas are the most prevalent benign gynecological tumors,affecting over 70%of women[1].They are often associated with significant morbidity,including anemia and infertility.In contrast,uterine sarcomas,although rare,are highly malignant,with a five-year survival rate of 50%-55%in early stages and a stark decline to 8%-12%in advanced stages[2],[3].展开更多
基金supported by the National Key Research and Development Program of China(2022YFE0109400)Leading Edge Technology of Jiangsu Province(BK20220009,BK20232022)+1 种基金Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)Center for Microscopy and Analysis at Nanjing University of Aeronautics and Astronautics。
文摘Lithium metal batteries(LMBs)are considered the ideal next-generation high-energy-density systems,capable of surpassing the performance of lithium-ion batteries(LIBs).However,LMBs suffer from issues such as irreversible Li deposition/stripping,dendrite growth and significant volume fluctuations.Here,we use doctor blade coating to precisely control the loading of the bulk hard carbon(BHC)host with closed nanopores on carbon-coated copper(CCu)foil to achieve optimal cycling stability and rate performance for Li metal and anode-free battery systems.Through ex/in-situ techniques,we demonstrate that the BHC host induces a continuous intercalation-deposition mechanism,where the pre-lithiated BHC(preliBHC)phase,formed by Li+intercalation,improves Li affinity,accelerates Li+transport,and reduces nucleation overpotential,resulting in uniform Li deposition and effectively suppressing dendrite growth.Furthermore,these characterizations reveal that irreversible Li deintercalation from graphite layers is a key factor leading to the low initial Coulombic efficiency(ICE).Consequently,when coupled with a LiFePO_(4)cathode,the BHC-based full cell retains 96.3% of its capacity after 210 cycles at 1 C,demonstrating exceptional cycling stability.Notably,at-20℃,the full cell maintains 94.2% capacity retention after 60 cycles.These findings deepen the understanding of regulating Li metal deposition mechanisms and offer valuable insights into designing Li metal hosts for improved cycle life and high-rate performance.
文摘With the proliferation of artificial intelligence (AI) technology, the profound impact it has had on the economy cannot be ignored. With each passing day, AI advancements grow increasingly significant, demanding the close attention of both corporations and governments. It is imperative for all stakeholders to grasp the ramifications of AI on the workforce and societal inequality. While past research has predominantly revolved around the potential of AI-driven automation and the specter of job displacement, a crucial aspect often overlooked has been policy evaluation that considers those directly impacted—employers and employees within the workplace. Through a comprehensive survey encompassing the perspectives of over 5000 individuals and 2000 firms, we endeavor to unravel the intricate web of AI implementation within professional settings and, by proxy, potential policy solutions to combat the various aspects of AI. The revelations stemming from our study are telling Training emerges as an indispensable catalyst in the assimilation of AI, rendering it more effective and, notably, enhancing the perceptions of AI among the workforces. Furthermore, consultations surrounding AI integration within organizations prove to be a positive force, facilitating its harmonious coexistence with human labor. However, it is the vital nexus of communication between employers and employees that stands as the linchpin to the successful incorporation of AI into the modern workplace. Furthermore, examples of federal and regulatory policy are provided that could be used to combat concerns that will arise in accompaniment with AI. In essence, our findings implore a balanced and nuanced approach—One that empowers rather than alienates employees. Only through such an approach can we hope to foster coexistence between AI and the invaluable human workforce.
基金supported by the Young Talent Project of Hebei Agricultural University Foundation(YJ201848)the Youth Fund of Hebei Province Natural Science Foundation(C2019204295)。
文摘As one of the largest families of transcription factors(TFs)in plants,the WRKY TF family plays a key role in regulating plant responses to various biotic and abiotic stresses.However,there is no confirmed method to quickly identify stress-responsive members from the WRKY gene family.In this study,all reported functional WRKY genes were first analyzed,and the amino acid patterns in response to stress were identified in group II-c(T-R/K-S/T-E/Q/D-V/I/L-E/D-I/V/H/N-L/M-D/E-D-G/E-F/Y-K/R-WRKYG-Q/K-K-A/T-VKN-S/N-P),group II-d(VPA-I/V-S-X-K-M/L/V/I-ADIP-P/A/V-D-D/EY/F-S-WRKYGQKPIKGSP-H/Y-PRGYYKCS-S/T-V/M-RGCPARKVER),and group II-e(PSD-S/A/L-WAWRKYGQKPIKGSPYPR-G/S-YYRCSSSKGC).WRKY genes in Dendrobium catenatum were used to validate the accuracy of these patterns.A total of 63 DcaWRKY genes were identified,their gene structures,conserved motifs,and gene expression patterns were analyzed,and a phylogenetic tree was constructed.Gene expression patterns were then analyzed under drought stress,and seven DcaWRKY genes(Dca002550,Dca002715,Dca005648,Dca007842,Dca010430,Dca016437,and Dca006787)were randomly selected to determine their expression levels and verify their expression patterns by quantitative real-time polymerase chain reaction analysis.The identified amino acid patterns were validated by drought-responsive WRKY genes in D.catenatum,confirming the accuracy of these amino acid patterns and providing valuable insights into further research of the WRKY family in D.catenatum.
基金supported by the Independent Research Fund of the State Key Laboratory of Complex,Severe,and Rare Diseases(2025-I-PY-010)Beijing Municipal Natural Science Foundation(Z220013)+4 种基金the National Natural Science Foundation of China(82271656,82530054,and 82171621)the National Key R&D Program of China(2023YFC2706001)the National High Level Hospital Clinical Research Funding(2025-PUMCH-C-037 and 2022-PUMCHC-060)CAMS Initiative for Innovative Medicine(2021-I2M-1-004)Barnhart Family Distinguished Professorship from the University of Texas MD Anderson Cancer Center.
文摘Uterine myomas are the most prevalent benign gynecological tumors,affecting over 70%of women[1].They are often associated with significant morbidity,including anemia and infertility.In contrast,uterine sarcomas,although rare,are highly malignant,with a five-year survival rate of 50%-55%in early stages and a stark decline to 8%-12%in advanced stages[2],[3].
